More than one third (13 million) of adults aged 65 and above fall each year in the United States. Developing automated systems that detect falls is an important goal for those working in the field of eldercare technology. We developed an acoustic fall detection system (FADE) that automatically recognizes falls using purely acoustic (sound) information. The main challenge of building a fall dete...

Similarity assessment plays a key role in lazy learning methods such as knearest neighbor or case-based reasoning. In this paper we will show how refinement graphs, that were originally introduced for inductive learning, can be employed to assess and reason about similarity. We will define and analyze two similarity measures, $S_{?}$ and $S_{?}$, based on refinement graphs. The \emph{anti-unifi...

As internet usage rapidly increases in both private and corporate sectors, the study of network intrusion detection is continuously becoming more relevant and has thus been evolving substantially in recent years. One of the most interesting techniques in the network intrusion detection system (NIDS) is the feature selection technique. The ability of NIDS to accurately identify intrusion from th...

As there is a vast advancement in the E-commerce technology, the use of credit cards has grown up. The credit card has become the crucial mode of payment so with the rise in the credit card transactions, the credit card frauds have also become frequent nowadays. [1] Thus, an improved fraud detection system has become essential to maintain the reliability of the payment system. The criterion is ...

Two approaches were explored which integrate neural net classifiers with Hidden Markov Model (HMM) speech recognizers. Both attempt to improve speech pattern discrimination while retaining the temporal processing advantages of HMMs. One approach used neural nets to provide second-stage discrimination following an HMM recognizer. On a small vocabulary task, Radial Basis Function (RBF) and back-p...

To develop Human-centric Driver Assistance Systems (HDAS) for automatic understanding and charactering of driver behaviors, an efficient feature extraction of driving postures based on Geronimo–Hardin–Massopust (GHM) multiwavelet transform is proposed, and Multilayer Perceptron (MLP) classifiers with three layers are then exploited in order to recognize four pre-defined classes of driving postu...

This paper presents a novel image classification scheme for benthic coral reef images that can be applied to both single image and composite mosaic datasets. The proposed method can be configured to the characteristics (e.g., the size of the dataset, number of classes, resolution of the samples, color information availability, class types, etc.) of individual datasets. The proposed method uses ...

Three graph theoretical statistics are considered for the problem of estimating the intrinsic dimension of a data set. The first is the ‘‘reach’’ statistic, r j,k, proposed in Brito et al. (2002) [4] for the problem of identification of Euclidean dimension. The second,Mn, is the sample average of squared degrees in the minimum spanning tree of the data, while the third statistic, Uk n , is base...

Due to the advancement of mobile computing technology and the various sensors built in the smartphones, context-aware services are proliferating to everyday life. Location-based service (LBS), which provides the appropriate service to smartphone users according to their contexts, is becoming more popular, and the location is one of the most important contexts in LBS. Extracting and recognizing ...

All over India more than 12 crore people utilize Gurumukhi script for speaking, documenting & other purposes. A considerable advancement in the work associated with the recognition of handwritten and printed Gurmukhi text has been reported in last few years. From the last few decades offline handwritten character recognition has gained a lot of interest of researchers. It is well known that eac...